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Module Reference
Python How To
Python Examples
Matplotlib Line
You can use the keyword argument linestyle, or shorter ls, to change the style of the plotted line
Linestyle
You can use the keyword argument linestyle, or shorter ls, to
change the style of the plotted line:
Example
Use a dotted line:
import matplotlib.pyplot as plt
import numpy as np
ypoints = np.array([3, 8, 1, 10])
plt.plot(ypoints, linestyle = 'dotted')
plt.show()
Result:
Example
Use a dashed line:
plt.plot(ypoints, linestyle = 'dashed')
Result:
Shorter Syntax
The line style can be written in a shorter syntax:
linestyle can be written as ls.
dotted can be written as :.
dashed can be written as --.
Example
Shorter syntax:
plt.plot(ypoints, ls = ':')
Result:
Line Styles
You can choose any of these styles:
| Style | Or | |
|---|---|---|
| 'solid' (default) | '-' | Try it » |
| 'dotted' | ':' | Try it » |
| 'dashed' | '--' | Try it » |
| 'dashdot' | '-.' | Try it » |
| 'None' | '' or ' ' | Try it » |
Line Color
You can use the keyword argument color or
the shorter c to set the color of the line:
Example
Set the line color to red:
import matplotlib.pyplot as plt
import numpy as np
ypoints = np.array([3, 8, 1, 10])
plt.plot(ypoints, color = 'r')
plt.show()
Result:
You can also use Hexadecimal color values:
Example
Plot with a beautiful green line:
...
plt.plot(ypoints, c = '#4CAF50')
...
Result:
Or any of the 140 supported color names.
Example
Plot with the color named "hotpink":
...
plt.plot(ypoints, c = 'hotpink')
...
Result:
Line Width
You can use the keyword argument linewidth or
the shorter lw to change the width of the line.
The value is a floating number, in points:
Example
Plot with a 20.5pt wide line:
import matplotlib.pyplot as plt
import numpy as np
ypoints = np.array([3, 8, 1, 10])
plt.plot(ypoints, linewidth = '20.5')
plt.show()
Result:
Multiple Lines
You can plot as many lines as you like by simply adding more plt.plot() functions:
Example
Draw two lines by specifying a plt.plot() function for each line:
import matplotlib.pyplot as plt
import numpy as np
y1 = np.array([3, 8, 1, 10])
y2 = np.array([6, 2, 7, 11])
plt.plot(y1)
plt.plot(y2)
plt.show()
Result:
You can also plot many lines by adding the points for the x- and y-axis for each line in the same plt.plot() function.
(In the examples above we only specified the points on the y-axis, meaning that the points on the x-axis got the the default values (0, 1, 2, 3).)
The x- and y- values come in pairs:
Example
Draw two lines by specifiyng the x- and y-point values for both lines:
import matplotlib.pyplot as plt
import numpy as np
x1 = np.array([0, 1, 2, 3])
y1 = np.array([3, 8, 1, 10])
x2 = np.array([0, 1, 2, 3])
y2 = np.array([6, 2, 7, 11])
plt.plot(x1, y1, x2, y2)
plt.show()
Result: